Wearable accelerometer-derived physical activity and incident disease
Open accessPublished version of a preprint
Abstract
Physical activity is regarded as favorable to health but effects across the spectrum of human disease are poorly quantified. In contrast to self-reported measures, wearable accelerometers can provide more precise and reproducible activity quantification. Using wrist-worn accelerometry data from the UK Biobank prospective cohort study, we test associations between moderate-to-vigorous physical activity (MVPA) – both total MVPA minutes and whether MVPA is above a guideline-based threshold of ≥150 min/week—and incidence of 697 diseases using Cox proportional hazards models adjusted for age, sex, body mass index, smoking, Townsend Deprivation Index, educational attainment, diet quality, alcohol use, blood pressure, anti-hypertensive use. We correct for multiplicity at a false discovery rate of 1%. We perform analogous testing using self-reported MVPA. Among 96,244 adults wearing accelerometers for one week (age 62 ± 8 years), MVPA is associated with 373 (54%) tested diseases over a median 6.3 years of follow-up. Greater MVPA is overwhelmingly associated with lower disease risk (98% of associations) with hazard ratios (HRs) ranging 0.70–0.98 per 150 min increase in weekly MVPA, and associations spanning all 16 disease categories tested. Overall, associations with lower disease risk are enriched for cardiac (16%), digestive (14%), endocrine/metabolic (10%), and respiratory conditions (8%) (chi-square p < 0.01). Similar patterns are observed using the guideline-based threshold of ≥150 MVPA min/week. Some of the strongest associations with guideline-adherent activity include lower risks of incident heart failure (HR 0.65, 95% CI 0.55–0.77), type 2 diabetes (HR 0.64, 95% CI 0.58–0.71), cholelithiasis (HR 0.61, 95% CI 0.54–0.70), and chronic bronchitis (HR 0.42, 95% CI 0.33–0.54). When assessed within 456,374 individuals providing self-reported MVPA, effect sizes for guideline-adherent activity are substantially smaller (e.g., heart failure HR 0.84, 95% CI 0.80–0.88). Greater wearable device-based physical activity is robustly associated with lower disease incidence. Future studies are warranted to identify potential mechanisms linking physical activity and disease, and assess whether optimization of measured activity can reduce disease risk.
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References 62 · Cited by 63
- Authors
- Khurshid, S., Weng, L.-C., Nauffal, V., Pirruccello, J. P., Venn, R. A., Al-Alusi, M. A., Benjamin, E. J., Ellinor, P. T., & Lubitz, S. A.
- Affiliations
- Broad Institute (US)
- Boston University (US)
- Corresponding author
- Lubitz, Steven A.
- ORCID
- Venue
- npj Digital Medicine
- Published
- 2022-09-02
- Volume
- 5
- Issue
- 1
- Pages
- 131-131
- ISSN
- 2398-6352 (ISSN-L)
- PMC
- PMC9440134
- OpenAlex
- W4294168018
- Cited by
- 63
- References
- 62
- Citations by year
- 2026: 16 · 2025: 17 · 2024: 17 · 2023: 11 · 2022: 2
- FWCI
- 7.27
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- npj Digital Medicine (publishedVersion, cc-by)
- medRxiv (acceptedVersion, cc-by-nd)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (R01HL139731, T32HL007604, R01HL092577, R01HL141434, R01AG066010, 1R01AG066914, 2U54HL120163, 1RO1HL092577, K24HL105780)
- American Heart Association (18SFRN34250007, 18SFRN34110082)
- Topics
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Keywords
- wearable accelerometers, physical activity, moderate-to-vigorous physical activity, disease incidence, heart failure, type 2 diabetes, gallstones, chronic bronchitis, self-reported physical activity, UK Biobank, cardiovascular disease, respiratory diseases, metabolic disorders, gastrointestinal diseases, endocrine disorders, disease risk reduction
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